# octen-mcp

> Use this tool when you need to convert URLs into clean, LLM-ready markdown with highlights and classification, solving data preparation and formatting issues for AI model inputs. It takes URLs as input and outputs formatted markdown, compatible with various MCP clients like Claude, Cursor, and VS Code. Ideal for use cases requiring efficient text processing and organization for large language models.

Canonical page: https://skillsregistry.net/skills/octen-team-octen-mcp  
JSON: https://api.skillsregistry.net/v1/skills/octen-team-octen-mcp

## Description

MCP server for Octen Extract that turns any URL into clean, LLM-ready markdown, with highlights and classification. Works with Claude, Cursor, VS Code, and other MCP clients.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xfd7r7zvl9)
- **Repository:** <https://github.com/Octen-Team/octen-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "octen-team-octen-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/octen-team-octen-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/octen-team-octen-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt